An application for calculating transport coefficients based on the Boltzman equation. Within the relaxation time approximation, transport coefficients such as the Hall coefficient and the Seebeck coefficient can be evaluated from the output of the first principles calculation applications (Wien2k, ABINIT, SIESTA, quantum ESPRESSO, VASP). If users can measure relaxation time experimentally, electric conductivity can also be evaluated.
An open-source application for all-electron first-principles calculation based on augmented plane-wave basis. It performs electronic-state calculation such as band calculation of solids and structure optimization. The all-electron method, which treats core electrons explicitly, improves accuracy compared with pseudo-potential methods. This package can also treat strong electronic correlations by combining electronic-state calculation with the dynamical mean-field approximation.
An application for visualization of large-scale many-particle simulation. This application can visualize information on a large number of particles treated in calculation of gravitational many-body problems, and provides many features for creating animations. It implements high-speed visualization with OpenGL, and supports graphical user interface (GUI) for operations.
An open-source numerical library for machine learning. Various functions related to deep learning are implemented. This package directly treats equations as such, and have useful routines such as matrix operation and auto partial derivative. Users can convert their codes into C language, and can compile it. High speed operation by GPGPU parallel calculation is supported. A number of tutorials are available.
aenet is software for atomic interaction potentials using artificial neural networks. Users can construct neural network potentials using structures of target materials and their energies obtained from first principle calculations. The generated potentials can be used to molecular dynamics or Monte Carlo simulations.
A set of python modules for modeling atomic structures, running simulations, and visualizing results. These modules provide interfaces for various application of first-principles calculation, classical molecular dynamics, and quantum chemical calculation through GUI, command line, or python scripts. The source code is available under the LGPL.
An open-source application for first-principles calculation based on pseudo- potential and real-space basis. It performs electronic-state calculation such as band calculation of solids and structure optimization for a variety of physical systems. The method of time-dependent density functional theory (TDDFT) is implemented, which allows simulation of dynamical phenomena with real-time evolution of electronic states, such as chemical reaction and electronic response to time-dependent external fields. Comes with detailed tutorials and comprehensive manuals.
Automatic generation tool for codes of tensor contraction. This tool can automatically generate codes of an optimal computing sequence for construction of a single tensor from a tensor network composed of tensors. Netcon algorithm proposed by Pfeifer et al. is used, and it is possible to search optimal solution quickly. Generated codes are available in Numpy and mptensor in Python.
DiracQ is a Mathematica nodebook for calculating commutation relations, which frequently appear in the quantum mechanics. DiracQ can treat canonical operators (canonical momentum and canonical position operators), Fermion operators, and Boson operators.
A tool for performing Bader analysis of assigning electron density of molecules and solids to individual atoms. Binaries for Linux and Mac OS X, as well as source code is provided under the GPL. The code is written in fortran90, and can handle charge density data in VASP CHGCAR and Gaussian Cube formats.